Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques

• Κύριοι συγγραφείς: Majumder, Mrinmoy (Συγγραφέας), Saha, Apu K. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2016.
• Σειρά: SpringerBriefs in Energy,
• Θέματα: Energy.; Renewable energy resources.; Climate change.; Electric power production.; Computational intelligence.; Renewable energy sources.; Alternate energy sources.; Green energy industries.; Environmental economics.; Renewable and Green Energy.; Computational Intelligence.; Energy Technology.; Environmental Economics.; Climate Change/Climate Change Impacts.

This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for prod...

Πίνακας περιεχομένων:

• Introduction
• Justification
• Solar Energy
• Solar Energy
• Importance
• Benefits of Solar energy
• MCDM
• Definitions
• Applications
• Artificial Neural Network
• Definition
• Development Procedure of Models
• Development of the Feasibility Model
• Application of MCDM
• Development of Feasibility Index
• Model Validation of the Model
• Sensitivity Analysis
• Case Studies
• Locations
• Why this location ?
• Results and Discussion
• MCDM Results
• ANN Results
• Conclusion.